Michel E. D. Chaves

Orcid: 0000-0002-1498-6830

Affiliations:
  • National Institute for Space Research (INPE), São José dos Campos, SP, Brazil


According to our database1, Michel E. D. Chaves authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Sugarcane Yield Estimation Using Satellite Remote Sensing Data in Empirical or Mechanistic Modeling: A Systematic Review.
Remote. Sens., March, 2024

2023
Correction: Mataveli et al. Mining Is a Growing Threat within Indigenous Lands of the Brazilian Amazon. Remote Sens. 2022, 14, 4092.
Remote. Sens., 2023

A Tool for Prioritizing Deforestation Hotspots in the Brazilian Amazon.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Detecting Irrigated Croplands: A Comparative Study With Segment Anything Model And Region-Growing Algorithm.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Assessing The Influence Of Borders And Roads On The Segmentation Of Rice Fields: A Case Study.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

2022
Hierarchical Classification of Soybean in the Brazilian Savanna Based on Harmonized Landsat Sentinel Data.
Remote. Sens., 2022

Mining Is a Growing Threat within Indigenous Lands of the Brazilian Amazon.
Remote. Sens., 2022

Deforestation increases within full protected areas of the Brazilian Amazon.
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022

2021
Reply to Comment on "Comparison of Cloud Cover Detection Algorithms on Sentinel-2 Images of the Amazon Tropical Forest".
Remote. Sens., 2021

2020
Comparison of Cloud Cover Detection Algorithms on Sentinel-2 Images of the Amazon Tropical Forest.
Remote. Sens., 2020

Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products.
Remote. Sens., 2020

Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review.
Remote. Sens., 2020

2019
Land Cover Classifications of Clear-cut Deforestation Using Deep Learning.
Proceedings of the XX Brazilian Symposium on Geoinformatics, 2019

2018
A Geostatistical Approach for Modeling Soybean Crop Area and Yield Based on Census and Remote Sensing Data.
Remote. Sens., 2018


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